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R in Action

R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods.

Reactive Data Handling

Reactive Data Handling is a collection of five hand-picked chapters introducing you to building reactive applications capable of handling real-time processing with large data loads. You'll start with the high-level architecture of reactive applications and then look at low-level practical aspects.

Real-World Machine Learning

Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.

Real-World Natural Language Processing

Real-world Natural Language Processing teaches you how to create practical NLP applications using Python and open source NLP libraries such as AllenNLP and Fairseq.

Streaming Data

Streaming Data introduces the concepts and requirements of streaming and real-time data systems. The book is an idea-rich tutorial that teaches you to think about how to efficiently interact with fast-flowing data.

Succeeding with AI

Succeeding with AI sets out a blueprint for AI projects to ensure they are predictable, successful, and profitable. It's filled with practical techniques for running data science programs that ensure they're cost effective and focused on the right business goals.

The Quick Python Book, Third Edition

This third revision of Manning's popular The Quick Python Book offers a clear, crisp updated introduction to the elegant Python programming language and its famously easy-to-read syntax.

The Well-Grounded Python Developer

The Well-Grounded Python Developer teaches you how to write real software in Python by building on the basic language skills you already have.

Think Like a Data Scientist

Think Like a Data Scientist teaches you a step-by-step approach to solving real-world data-centric problems. By breaking down carefully crafted examples, you'll learn to combine analytic, programming, and business perspectives into a repeatable process for extracting real knowledge from data

Tiny Python Projects

A long journey is really a lot of little steps. The same is true when you're learning Python, so you may as well have some fun along the way! Written in a lighthearted style with entertaining exercises that build powerful skills, Tiny Python Projects takes you from amateur to Pythonista as you create 22 bitesize programs.

Transfer Learning for Natural Language Processing

Transfer Learning for Natural Language Processing is a practical primer to transfer learning techniques capable of delivering huge improvements to your NLP models.

AWS Machine Learning in Motion

This interactive liveVideo course gives you a crash course in using AWS for machine learning, teaching you how to build a fully-working predictive algorithm.

Deep Learning Crash Course

In this liveVideo course, machine learning expert Oliver Zeigermann teaches you the basics of deep learning. With Oliver Zeigermann's crystal-clear video instruction and the hands-on exercises in this video course, you'll get started in deep learning using open-source Python-friendly tools like scikit-learn and Keras, and TensorFlow 2.0 (soon to be officially released with exciting new updates!).

Deep Learning with R in Motion

Deep Learning with R in Motion teaches you to apply deep learning to text and images using the powerful Keras library and its R language interface. This liveVideo course builds your understanding of deep learning up through intuitive explanations and fun, hands-on examples!

Get Programming with Python in Motion

Get Programming with Python in Motion is a beginner-friendly introduction to the world of writing computer programs, with the help of the easy-to-learn Python language.

Grokking Deep Learning in Motion

Grokking Deep Learning in Motion is a new liveVideo course that takes you on a journey into the world of deep learning. Rather than just learn how to use a single library or framework, you'll actually discover how to build these algorithms completely from scratch!

Keras in Motion

Keras in Motion teaches you to build neural-network models for real-world data problems using Python and Keras. In over two hours of hands-on, practical video lessons, you'll apply Keras to common machine learning scenarios, ranging from regression and classification to implementing Autoencoders and applying transfer learning.

Machine Learning, Data Science and Deep Learning with Python | Manning

Machine Learning, Data Science and Deep Learning with Python teaches you the techniques used by real data scientists and machine learning practitioners in the tech industry, and prepares you for a move into this hot career path.

Machine Learning for Mere Mortals

Machine Learning for Mere Mortals is a practical video course that takes you from clueless beginner into the incredible world of machine learning with Python and Tensorflow!

Reinforcement Learning in Motion

Reinforcement Learning in Motion introduces you to the exciting world of machine systems that learn from their environments. In this course, he'll break down key concepts like how RL systems learn, how to sense and process environmental data, and how to build and train AI agents.

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